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Record W2947265899 · doi:10.1186/s12877-019-1135-x

Perspectives and experiences of compassion in long-term care facilities within Canada: a qualitative study of patients, family members and health care providers

2019· article· en· W2947265899 on OpenAlexafffundabout
Lorraine Smith‐MacDonald, Lorraine Venturato, Paulette V. Hunter, Sharon Kaasalainen, Tamara Sussman, Lynn McCleary, Genevieve Thompson, Abigail Wickson‐Griffiths, Shane Sinclair

Bibliographic record

VenueBMC Geriatrics · 2019
Typearticle
Languageen
FieldHealth Professions
TopicGeriatric Care and Nursing Homes
Canadian institutionsUniversity of ReginaUniversity of CalgaryMcGill UniversityMcMaster UniversityUniversity of ManitobaBrock UniversityUniversity of Saskatchewan
FundersAlberta InnovatesAlberta Innovates - Health SolutionsCanadian Institutes of Health ResearchSaskatchewan Health Research FoundationOntario Ministry of Health and Long-Term CareResearch Manitoba
KeywordsCompassionFocus groupThematic analysisNursingOperationalizationPalliative careHealth careQualitative researchContext (archaeology)StaffingPsychologyMedicineSociologyPolitical science

Abstract

fetched live from OpenAlex

INTRODUCTION: This paper details a subset of the findings from a participatory action research project exploring a palliative intervention in long-term care sites across Canada. The findings presented in this paper relate to understanding compassion within the context of a palliative approach to long-term care. METHODS: Findings presented are drawn from qualitative interviews and focus groups with residents, family members, healthcare providers, and managers from 4 long-term care sites across 4 provinces in Canada. In total, there were 117 individuals (20 residents, 16 family members, 72 healthcare providers, and 9 managers) who participated in one of 19 focus groups. Data was analyzed by multiple members of the research team in accordance with thematic analysis. Individual concepts were organized into themes across the different focus groups and the results were used to build a conceptual understanding of compassion within Long Term Care . FINDINGS: Two themes, each comprised of 5 sub-themes, emerged from the data. The first theme 'Conceptualizing Compassion in Long-Term Care generated a multidimensional understanding of compassion that was congruent with previous theoretical models. 'Organizational Compassion: resources and staffing', the second major theme, focused on the operationalization of compassion within the practice setting and organizational culture. Organizational Compassion subthemes focused on how compassion could support staff to enact care for the residents, the families, one another, and at times, recognizing their pain and supporting it through grief and mourning. CONCLUSIONS: Results suggest that compassion is an essential part of care and relationships within long-term care, though it is shaped by personal and professional relational aspects of care and bound by organizational and systemic issues. Findings suggest that compassion may be an under-recognised, but essential element in meeting the promise of person-centred care within long-term care environments.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.154
Threshold uncertainty score0.629

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.039
GPT teacher head0.381
Teacher spread0.342 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations41
Published2019
Admission routes3
Has abstractyes

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